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Ламинарное течение, безусловно, красивый феномен. Обязательно поищите ролики на YouTube, если вы его ещё не видели. Один из больших поклонников этого явления — Дестин Сэндлин с канала Smarter Every Day, но Дерек Маллер с канала Veritasium не разделяет его восторженных взглядов и готов доказать, что турбулентное течение круче.

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Nick Denizhenko, Oleksii , Pavel Dunaev, Mikhail Stolpovskiy, Ігор Дорохов, Boris Bendikov, Михаил Панькин, Виталий Алешко, Felix , Pavel Parpura, Yevhen , Katoto Chan, Данил Рягузов, Владимир Кашутин, Kosoy , Anton Bolotov, Максим Минин, Максим Sheridan' Горлов, Luba Karpenko, Anton Makiievskyi, Vladimir Grachev, Denis Titusov, Spartak Kagramanyan, Максим Иванов, Dmitriy Omelyansky, Konstantin Pesyakov, Olga Shistareva, Alex Katkov, Serj Kravchuk, Alexander Zimin, Евгений Миф, Alexey Kukushkin, Пугачёв Пётр, Viktoria , Kamerton_440 , Alexander , Pandaben , Oleg Streltsov, Monza UA, Дмитрий Сергеевич, Alexandr Globov, Мария Соозарь, Vladimir Goshev, Vladyslav Sokolenko, Pavel D, Maria Tronina, Alexander Balynskiy, Ivan Iakimov, Иван Дьяченко, Claudia Barzaeva, sepeca , Olga Podolskaya, Aleksei Masliukov, Valeria Volodina, Alexander Gorodok, Viktor Lova, Ольга Канкулова, Vladimir Gavriushov, Алексей Разводов, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Evgeny Vrublevsky, Виталий Пастушенко, Katya Prokopchuk, Ihar Marozau, Lirin Alex, Alterien

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Вадим Казанцев, Дмитрий Чепусов, Екатерина Муравицкая
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Эльдар Нургалиев

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Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/5zI9sG3pjVU

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Можно ли одной рукой поднять над головой гриф с диском весом 20 кг на конце? Если вы невероятно сильный, то можно. А если вы Дерек Маллер, то этот диск придется сначала очень быстро раскрутить.

Ответ: https://youtu.be/FasivFKE0Tc
Гироскопическая прецессия: https://youtu.be/uMQ85tOPSO4

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Юрий Катарманов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider.
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Nick Denizhenko, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, F23D24, Alexey, Марина Малинкина, Dmitry Khlan, Галина Баринова, Yaroslav Kyrylchuk, Познающий, Ирина Анатольевна Чулкова, kotov.pr, Pavel Golovin, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Dim iONkinberg, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Evgeny Vrublevsky, Ihar Marozau, Александр Фалалеев

Сайт студии: http://vertdider.tv

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/GeyDf4ooPdo

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Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.

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MIT Introduction to Deep Learning 6.S191: Lecture 4
Deep Generative Modeling
Lecturer: Ava Amini
*New 2024 Edition*

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00​ - Introduction
6:10- Why care about generative models?
8:16​ - Latent variable models
10:50​ - Autoencoders
17:02​ - Variational autoencoders
23:25 - Priors on the latent distribution
32:31​ - Reparameterization trick
34:36​ - Latent perturbation and disentanglement
37:40 - Debiasing with VAEs
39:37​ - Generative adversarial networks
42:09​ - Intuitions behind GANs
44:57 - Training GANs
48:28 - GANs: Recent advances
50:57 - CycleGAN of unpaired translation
55:03 - Diffusion Model sneak peak

Subscribe to stay up to date with new deep learning lectures at MIT, or follow us @MITDeepLearning on Twitter and Instagram to stay fully-connected!!

Rihanna, Adele, The Weeknd, Dua Lipa, Maroon 5, Miley Cyrus, Ed Sheeran 🌟 Música Pop En Inglés 2024💖
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A light intro to LLMs, chatbots, pretraining, and transformers.
Dig deeper here: https://www.youtube.com/playli....st?list=PLZHQObOWTQD
Technical details as a talk: https://youtu.be/KJtZARuO3JY
This was made for an exhibit at the Computer History Museum: https://computerhistory.org/
Instead of sponsored ad reads, these lessons are funded directly by viewers: https://3b1b.co/support

No secret end-screen vlog for this one, the end-screen real estate was all full!

------------------

These animations are largely made using a custom Python library, manim. See the FAQ comments here:
https://3b1b.co/faq#manim
https://github.com/3b1b/manim
https://github.com/ManimCommunity/manim/

All code for specific videos is visible here:
https://github.com/3b1b/videos/

The music is by Vincent Rubinetti.
https://www.vincentrubinetti.com
https://vincerubinetti.bandcam....p.com/album/the-musi
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3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly.

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Agents are everywhere these days, but with so much information available, it’s easy to feel overwhelmed. Most tutorials and videos focus on specific frameworks without covering the fundamental principles behind these systems.

This course takes a different approach. Over four modules, you'll learn to implement the four core agentic patterns from scratch, using just Python and Groq LLMs:

* Reflection Pattern
* Tool Use Pattern
* Planning Pattern
* Multi-Agent Pattern

Explore the written lessons on my Substack blog:

https://theneuralmaze.substack.com/

Check out the code here:

https://github.com/neural-maze/agentic_patterns

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If you like this content, you can also follow me here:

📩 Substack - https://theneuralmaze.substack.com/
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––––––––––––––––––––––––––––––

––––––––––––––––––––––––––––––

0:00 Introduction
2:48 Module 1 - Reflection Pattern
20:40 Module 2 - Tool Pattern
44:22 Module 3 - Planning Pattern
1:13:16 Module 4 - MultiAgent Pattern
1:41:00 Conclusion

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With this video, I am beginning a new deep learning tutorial series for total beginners. In this deep learning tutorial python, I will cover following things in this series,
1. Explain neural network concepts in most easiest way
2. Go over math if needed, otherwise keep the tutorials simple and easy
3. Provide exercises that you can practice on
4. Use python, keras and tensorflow mainly. I might cover pytorch as well
5. Cover convolutional neural network (CNN) for image and video processing
6. Cover recurrent neural network (RNN) for sequential analysis and natural language processing (NLP)

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

🔖 Hashtags 🔖
#deeplearningwithpython #deeplearning #deeplearningtensorflow #deeplearningtutorialpython #deeplearningtutorial #deeplearningbegininer

Next video: https://www.youtube.com/watch?v=yfsTZbwgMSE&list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO&index=2

Playlist for this deep learning series: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Prerequisites for this series:
1: Python tutorials (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
2: Pandas tutorials(first 8 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
3: Machine learning playlist (first 16 videos): https://www.youtube.com/playli....st?list=PLeo1K3hjS3u

Special thanks to NVIDIA for gifting me Titan RTX GPU. This is Nvidia's top of the line, very powerful GPU that can make running deep learning jobs super fast. I am planning to make tutorials in future where I can utilize this GPU to benchmark deep learning training jobs. Here is more information on this GPU: https://www.nvidia.com/en-us/d....eep-learning-ai/prod

Keywords: Tensorflow tutorial, Deep Learning tutorials, TensorFlow tutorial for beginners, deep learning tutorials for beginners

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This video explains the original GPT model, "Improving Language Understanding by Generative Pre-Training". I think the key takeaways are understanding that they use a new unlabeled text dataset that requires the pre-training language modeling to incorporate longer range context, the way that they format input representations for supervised fine-tuning, and the different NLP tasks this is evaluated on!

Paper Links:
GPT: https://s3-us-west-2.amazonaws.....com/openai-assets/r
DeepMind "A new model and dataset for long range memory": https://deepmind.com/blog/arti....cle/A_new_model_and_
SQuAD: https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/Oxygen.html?model=BiDAF%20+%20Self%20Attention%20+%20ELMo%20(single%20model)%20(Allen%20Institute%20for%20Artificial%20Intelligence%20[modified%20by%20Stanford])&version=v2.0
MultiNLI: https://www.nyu.edu/projects/bowman/multinli/
RACE: https://arxiv.org/pdf/1704.04683.pdf
Quora Question Pairs: https://www.quora.com/q/quorad....ata/First-Quora-Data
CoLA: https://arxiv.org/pdf/1805.12471.pdf

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This Digital Marketing Course video is the second part of a series that will have everything you need to know about Digital Marketing. This video covers a wide range of topics like Google ads, Google display network, Google analytics, how to set up goals in Google ads, Google data studio, how to start with social media marketing, facebook ads, facebook ads tips and strategies, how to rank youtube videos, how to create a youtube channel, how to increase youtube subscribers, youtube ads, how to increase followers on instagram, and how to increase twitter followers. This video covers the domains of Search Engine Marketing and Social Media Marketing.

🔥 Digital Marketing Course Part1: https://www.youtube.com/watch?v=nU-IIXBWlS4
🔥 Digital Marketing Course Part3: https://www.youtube.com/watch?v=gNBXwFsNm-8

Below topics are explained in this Digital Marketing Full Course:
1. How to advertise on google 00:56
2. Google Ads Tutorial 01:05
3. What are Google Ads 01:12
4. What are the various formats in Google Ads 12:15
5. Where is Google showing your ads 20:33
6. How can you create a Google Ad 33:40
7. Important metrics to track 44:08
8. Optimizing your advertisements 53:33
9. Google Display Network 01:01:31
10. What is the Google Display Network 01:02:22
11. GDN vs GSN 01:08:15
12. Google Display Network Ad formats 01:12:43
13. How to set up an Ad on GDN 01:14:23
14. Advantages of the GDN 01:32:16
15. Google Analytics 01:36:18
16. How to setup Google Analytics account 01:36:33
17. Google Analytics reports 01:49:32
18. How to setup Goals In Google Analytics 2019 02:33:15
19. Google data Studio Tutorila 03:37:46
20. How to start Social Media Marketing 041:04:39
21. What is Social Media Marketing 04:04:50
22. Why do Social Media Marketing 04:06:00
23. What are the channels use for SMM and how can you use them Media Marketing 04:08:45
24. What are the tools for Social 04:46:24
25. Tips to be a good Social Media Marketer04:49:42
26. Facebook Ads Tutorial 04:53:00
27. What are Facebook Ads 04:53:06
28. Why advertise on Facebook 04:54:02
29. What are the types of Facebook Ads 04:58:22
30. What are the steps to creating a Facebook Ad 05:04:27
31. The Do's and Don'ts of Facebook Advertising 05:47:41
32. Facebook Advertising Tips and Strategies 05:52:51
33. How to Rank Youtube Videos 06:35:19
34. Youtube Keyword Research 06:38:06
35. Create high-quality videos 06:58:47
36. Importance of user engagement 07:13:49
37. Promote your content 07:18:17
38. How to create a Youtube Channel 07:28:18
39. Creator Studio 07:48:32
40. How to Increase Youtube Subscribers 08:03:03
41. Important metrics for YouTube 09:20:27
42. How to create Youtube Ad 09:25:17
43. How to Increase Followers on Instagram 09:41:37
44. How to increase twitter followers 10:17:37

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This Jenkins tutorial will help you understand what is Jenkins, issues before Jenkins came in, what is continuous integration, features of Jenkins, Jenkins architecture, and you will also see a case study using Jenkins. Jenkins is a continuous integration tool that allows continuous development, test and deployment of newly created codes. Jenkins is primarily a build and release tool, it was written originally by the community as a build and release tool. They did not target it as a continuous integration, continuous deployment or an orchestration tool, it was simply used for releasing builds to production but now Jenkins has a lot of other uses like it's a continuous integration tool. It allows developers to make sure that their environments have the exact same code as their code repositories. Now let us get started and understand how Jenkins is being used in DevOps.

Below topics are explained in this Jenkins tutorial:
1. Before Jenkins ( 00:46 )
2. Issues before Jenkins
3. What is Jenkins? ( 02:17 )
4. What is continuous integration? ( 04:10 )
5. Continuous integration tools ( 05:45 )
6. Features of Jenkins ( 08:43 )
7. Jenkins pipeline ( 10:50 )
8. Jenkins architecture ( 12:52 )
9. Jenkins case study ( 14:43 )

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MIT Introduction to Deep Learning 6.S191: Lecture 2
Recurrent Neural Networks
Lecturer: Ava Amini
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com

Lecture Outline
0:00​ - Introduction
3:07​ - Sequence modeling
5:09​ - Neurons with recurrence
12:05 - Recurrent neural networks
13:47 - RNN intuition
15:03​ - Unfolding RNNs
18:57 - RNNs from scratch
21:50 - Design criteria for sequential modeling
23:45 - Word prediction example
29:57​ - Backpropagation through time
32:25 - Gradient issues
37:03​ - Long short term memory (LSTM)
39:50​ - RNN applications
44:50 - Attention fundamentals
48:10 - Intuition of attention
50:30 - Attention and search relationship
52:40 - Learning attention with neural networks
58:16 - Scaling attention and applications
1:02:02 - Summary
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00:00:00 Introduction to Microsoft Excel Full Course
Excel Basic Knowledge
How To Change Lower Case To Upper Case In Excel?
How To Add Rows In Excel?
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How To Freeze Row In Excel Tutorial
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Combining Data From Multiple Cells In Excel
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Data Validation In Excel
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How To Calculate Average In Excel?
Excel Print Page Setup
Page Break In Excel For Beginners
Conditional Formatting In Excel
How to Count Colored Cells in Excel?
DateDif In Excel Explained
Remove Duplicates In Excel
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Charts In Excel
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Excel Gantt Chart Tutorial
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Pivot Charts in Excel and How to Create a Pivot Table Using Multiple Sheets in Excel
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Excel Lookup Tutorial
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Indirect Function Excel
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Project Planning in excel
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